Vehicle control method and device, medium and electronic equipment

Abstract

The invention belongs to the technical field of vehicles, and relates to a vehicle control method and device, a medium and electronic equipment. The method comprises the following steps: acquiring abnormal tire data; determining a target vehicle based on the abnormal tire data; obtaining a target vehicle and vehicle driving data associated with the target vehicle; and according to the abnormal tire data and / or the vehicle driving data, generating driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle. The driving parameters of the target vehicle and / or the vehicle associated with the target vehicle are adjusted by using the abnormal tire data of the target vehicle and the vehicle driving data, so that configuration of parameters such as tires can be dynamically and adaptively adjusted, and the technical span from single vehicle control to vehicle group coordination is realized; the risk of abnormal wear and failure of the tire is reduced from the system level, and the performance of the tire is optimized.

Description

TECHNICAL FIELD

[0001] The present disclosure belongs to the technical field of vehicle control, and particularly relates to a vehicle control method, a vehicle control device, a computer readable storage medium and an electronic device. BACKGROUND

[0002] The vehicle management is automated and intelligent by the vehicle-mounted platform.

[0003] However, in the existing vehicle-mounted system, single-vehicle tire data cannot serve other vehicles, and lacks cross-platform data interaction capability, thereby cannot be applied to vehicle control strategy, and cannot realize tire optimization and performance improvement. SUMMARY

[0004] To overcome the problems in the related art, the present disclosure provides a vehicle control method, a vehicle control device, a computer readable storage medium and an electronic device.

[0005] According to a first aspect of the embodiments of the present disclosure, a vehicle control method is provided, comprising: obtaining abnormal tire data; determining a target vehicle based on the abnormal tire data; obtaining the target vehicle and vehicle driving data associated with the target vehicle; generating driving parameters for adjusting the target vehicle and / or the vehicle associated with the target vehicle according to the abnormal tire data and / or the vehicle driving data. Optionally, the driving parameters include one or more of tire pressure, driving speed and path recommendation.

[0006] In the present exemplary embodiment, a cross-platform vehicle control method is provided, which can dynamically and adaptively adjust the configuration of tires, speed and path, breaks the limitation of single-vehicle independent control, and realizes the technical leap from single-vehicle control to vehicle group coordination.

[0007] Optionally, the abnormal tire data includes a first wear index, The generating of the driving parameters for adjusting the target vehicle and / or the vehicle associated with the target vehicle according to the abnormal tire data and / or the vehicle driving data comprises: adjusting the tire pressure of the target vehicle according to the first wear index, the first wear index representing the health degree of the tire of the target vehicle.

[0008] In the exemplary embodiments of the present disclosure, the tire pressure is adjusted according to the first wear index of the tire of the target vehicle, which provides a basis for the full-stage control of the tire pressure from the initial configuration stage.

[0009] Optionally, the abnormal tire data comprises a tire temperature, The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle comprises: According to the tire temperature, braking of the target vehicle is indicated.

[0010] In the exemplary embodiments of the present disclosure, the target vehicle braking is controlled according to the tire temperature, and the targeted control for the high temperature of the tire temperature is suitable, which is a safety control strategy for the target vehicle tire.

[0011] Optionally, the vehicle driving data comprises acceleration data, and the abnormal tire data comprises a tire pressure, The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle comprises: When the tire pressure exceeds a preset tire pressure threshold, it is determined, based on the acceleration data, whether the target vehicle is in an abnormal driving state; If it is determined that the target vehicle is in the abnormal driving state, the tire pressure value of the target vehicle is adjusted according to the acceleration data. In this way, the scheme of the present disclosure can adjust the tire pressure value of the vehicle based on the driving state of the vehicle, and realize safety control of the vehicle.

[0012] Optionally, the adjusting, according to the acceleration data, of the tire pressure value of the target vehicle comprises: According to a mapping relationship between a preset acceleration amplitude or frequency and an adjustment value, a corresponding tire pressure adjustment instruction is generated; According to the tire pressure adjustment instruction, the tire pressure value is reduced to a safe range.

[0013] In the exemplary embodiments of the present disclosure, when the acceleration data represents that the target vehicle is driving forward or backward at a high speed, the tire pressure is further monitored, so as to control the adjustment mode of the tire pressure. Through the monitoring of the two parameters, a control strategy can be provided for the dangerous situation such as vehicle skidding, and the safety of driving is ensured from the vehicle end. Optionally, the vehicle driving data comprises roll data, The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle comprises: When the target vehicle is turning, the tire pressure of the vehicle associated with the target vehicle is lowered according to the roll data.

[0014] In the exemplary embodiments of the present disclosure, the tire pressure is lowered in the scenario where the target vehicle turns, and the tire pressure is adaptively controlled according to the driving scene, which is more targeted and has better control effect.

[0015] Optionally, the vehicle driving data includes vertical data, The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle includes: replanning a path according to the vertical data to instruct the vehicle associated with the target vehicle to drive on the replanned path; and / or instructing the vehicle associated with the target vehicle to adjust the vehicle speed according to the vertical data.

[0016] In the exemplary embodiments of the present disclosure, when the vertical data represents driving on a bumpy road or the like, the vehicle associated with the target vehicle can be provided with two control modes of path planning and vehicle speed adjustment according to the actual situation, which breaks the control barrier of a single vehicle and provides the vehicle associated with the target vehicle with diversified control modes. The consideration in the bumpy scenario is comprehensive, and the practicability is extremely strong.

[0017] Optionally, the vehicle driving data includes a second wear index of the vehicle associated with the target vehicle, and the second wear index represents a health degree of a tire of the vehicle associated with the target vehicle. The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle includes: determining an original path and a newly planned path of the target vehicle; based on the second wear index, performing any one of the following controls: controlling the vehicle associated with the target vehicle to drive on the new path; or controlling the vehicle associated with the target vehicle to keep driving on the original path.

[0018] In the exemplary embodiments of the present disclosure, the driving path of the vehicle is determined according to the second wear index of the vehicle associated with the target vehicle, which provides an adaptively selected path planning mode and is applicable to the vehicle associated with the target vehicle in different wear conditions, and the practicability is extremely strong.

[0019] Optionally, the abnormal tire data includes tire pressure and / or tire temperature, The generating, according to the abnormal tire data and / or the vehicle driving data, of the driving parameter for adjusting the target vehicle and / or the vehicle associated with the target vehicle includes: When the target vehicle is in an unstable driving state due to abnormal tire pressure and / or tire temperature index, the path is re-planned, and the vehicle associated with the target vehicle is instructed to drive on the re-planned path.

[0020] In the exemplary embodiments of the present disclosure, when the tire pressure or tire temperature of the target vehicle is not in a normal state, the target vehicle itself can be adjusted first, and then the associated vehicle is further controlled, thereby providing a vehicle linkage control strategy, the control chain is clear and has basis, and the control effect and accuracy are greatly improved.

[0021] According to a second aspect of the embodiments of the present disclosure, a vehicle control method is provided, comprising: uploading abnormal tire data and corresponding vehicle driving data to obtain driving parameters, the driving parameters being determined according to the abnormal tire data and / or the vehicle driving data, the vehicle driving data further including vehicle driving data of a vehicle associated with the target vehicle; adjusting according to the driving parameters.

[0022] According to a third aspect of the embodiments of the present disclosure, a vehicle control method is provided, comprising: uploading vehicle driving data to obtain driving parameters, the driving parameters being determined according to abnormal tire data and / or the vehicle driving data, the vehicle driving data further including vehicle driving data of a target vehicle, the abnormal tire data being determined according to the target vehicle; adjusting according to the driving parameters.

[0023] According to a fourth aspect of the embodiments of the present disclosure, a vehicle control device is provided, which is used to implement the steps of the vehicle control method provided by any one of the present disclosure.

[0024] According to a fifth aspect of the embodiments of the present disclosure, a computer readable storage medium is provided, which stores computer program instructions, the program instructions being executed by a processor to implement the steps of the vehicle control method provided by any one of the first aspect of the present disclosure.

[0025] According to a sixth aspect of the embodiments of the present disclosure, an electronic device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to execute the executable instructions to implement the steps of the vehicle control method provided by any one of the first aspect of the present disclosure.

[0026] The technical solutions provided by the embodiments of the present disclosure can include the following beneficial effects: In the method and device provided in the exemplary embodiments of the present disclosure, the driving parameters of the target vehicle and / or the vehicle associated with the target vehicle are adjusted by using the abnormal tire data and vehicle driving data of the target vehicle, a cross-platform vehicle control method is provided, which can dynamically and adaptively adjust the configuration of the tire and other parameters, breaks the limitation of single-vehicle independent control, realizes the technical leap from single-vehicle control to vehicle group coordination, achieves the millisecond-level multi-vehicle linkage response effect, reduces the risk of tire abnormal wear and failure from the system level, and optimizes the tire performance.

[0027] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0028] The accompanying drawings, which are incorporated into the specification and constitute part of the specification, illustrate embodiments consistent with the present disclosure and, together with the specification, serve to explain the principles of the present disclosure.

[0029] Figure 1 The flowchart of a vehicle control method in the exemplary embodiments of the present disclosure is schematically shown; Figure 2 The flowchart of a method for adjusting the tire pressure of a target vehicle in the exemplary embodiments of the present disclosure is schematically shown; Figure 3 The flowchart of a method for further adjusting the tire pressure of a target vehicle in the exemplary embodiments of the present disclosure is schematically shown; Figure 4 The flowchart of a method for adjusting the driving parameters of an associated vehicle in the exemplary embodiments of the present disclosure is schematically shown; Figure 5 The flowchart of another method for adjusting the driving parameters of an associated vehicle in the exemplary embodiments of the present disclosure is schematically shown; Figure 6 The flowchart of another vehicle control method in the exemplary embodiments of the present disclosure is schematically shown; Figure 7 The flowchart of still another vehicle control method in the exemplary embodiments of the present disclosure is schematically shown; Figure 8 The interface diagram of a vehicle control method in the application scenario in the exemplary embodiments of the present disclosure is schematically shown; Figure 9 The structural diagram of another vehicle control device in the exemplary embodiments of the present disclosure is schematically shown; Figure 10 The structural diagram of still another vehicle control device in the exemplary embodiments of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0030] The exemplary embodiments will be described in detail below with reference to the drawings. In the following description, unless otherwise indicated, like numbers in the different drawings represent similar or analogous elements. The implementations described in the following exemplary embodiments are not meant to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0031] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the corresponding data protection regulations of the country where the device is located, and with the authorization given by the owner of the corresponding device.

[0032] To solve the problems in the related art, the present disclosure provides a vehicle control method, Figure 1 is a flowchart of a vehicle control method according to an exemplary embodiment, as Figure 1 shown, the method can at least include the following steps: Step S110. Acquire abnormal tire data.

[0033] Step S120. Determine a target vehicle based on the abnormal tire data.

[0034] Step S130. Acquire the target vehicle and vehicle driving data associated with the target vehicle.

[0035] Step S140. Generate driving parameters for adjusting the target vehicle and / or vehicles associated with the target vehicle according to the abnormal tire data and / or vehicle driving data.

[0036] In the exemplary embodiments of the present disclosure, the abnormal tire data and vehicle driving data of the target vehicle are used to adjust the driving parameters of the target vehicle and / or vehicles associated with the target vehicle, providing a cross-platform vehicle control method that can dynamically and adaptively adjust the configuration of parameters such as tires, breaking the limitations of independent control of individual vehicles, achieving a technical leap from single-vehicle control to vehicle group coordination, achieving a millisecond-level multi-vehicle response effect, reducing the risk of tire abnormal wear and failure from a system level, and optimizing tire performance.

[0037] The steps of the vehicle control method will be described in detail below.

[0038] In step S110, abnormal tire data is acquired.

[0039] In the exemplary embodiments of the present disclosure, the cloud can acquire the initial tire data of the vehicle.

[0040] The initial tire data can include tire temperature, tire pressure and the like of the vehicle, and can also include other data reflecting the tire performance of the vehicle, and the present example embodiment does not make special limitation thereto.

[0041] When the initial tire data includes the tire temperature of the vehicle, data of the tire temperature reaching 50℃ or higher can be determined as the abnormal tire data; when the initial tire data includes the tire pressure of the vehicle, data of the tire pressure reaching 3.2kPa or higher can be determined as the abnormal tire data, and the abnormal tire data can also be determined according to actual conditions, and the present example embodiment does not make special limitation thereto.

[0042] In step S120, the target vehicle is determined based on the abnormal tire data.

[0043] In the example embodiment of the present disclosure, the vehicle corresponding to the abnormal tire data is the target vehicle.

[0044] It is worth noting that the process of filtering the initial tire data to determine the abnormal tire data can also be implemented by the edge node. Specifically, after the vehicle uploads the initial tire data to the roadside unit through the V2X (vehicle wireless communication technology) component, the edge node can filter the abnormal values of the initial tire data to reduce the workload burden of data processing by the cloud, facilitate the uploading of data by the vehicle and the subsequent issuance of instructions, and improve the processing speed and efficiency.

[0045] When the cloud aggregates multiple sets of abnormal tire data, the tire health prediction model can be used to calculate the wear index of the tire of the target vehicle as the predicted abnormal tire number.

[0046] Specifically, the tire health prediction model can be W=∑(Ti•Pi). Wherein, W is the wear index, T is the tire temperature, and P is the tire pressure.

[0047] In step S130, the target vehicle and the vehicle driving data associated with the target vehicle are obtained.

[0048] In the example embodiment of the present disclosure, since the vehicle uploads the initial tire data at the same time, the corresponding vehicle driving data is also uploaded. Therefore, after the initial tire data is obtained, the vehicle driving data can be determined correspondingly. The vehicle driving data can include the driving data of the target vehicle corresponding to the abnormal tire data, and can also include the vehicle driving data of the vehicle associated with the target vehicle. The vehicle associated with the target vehicle can be the next vehicle of the target vehicle, or can be other vehicles associated with the target vehicle according to actual conditions, and the present example embodiment does not make special limitation thereto.

[0049] In step S140, a driving parameter of the target vehicle and / or a vehicle associated with the target vehicle is generated according to the abnormal tire data and / or the vehicle driving data. In an exemplary embodiment of the present disclosure, the driving parameter can be determined according to the acquired abnormal tire data and / or the vehicle driving data, for controlling the driving state of the vehicle. The vehicle to be controlled can be the target vehicle, can be a vehicle associated with the target vehicle, or can be the target vehicle first, and then a vehicle associated with the target vehicle according to the control of the target vehicle, which is not specially limited in the present exemplary embodiment.

[0050] In an optional embodiment, the driving parameter comprises one or more of a tire pressure, a driving speed, and a path suggestion.

[0051] In an optional embodiment, the abnormal tire data comprises a first wear index, The tire pressure of the target vehicle is adjusted according to the first wear index, and the first wear index represents the health degree of the tire of the target vehicle.

[0052] Generally, the health degree of the tire can be obtained according to the first wear index of the tire of the target vehicle, and therefore, the corresponding tire pressure can be set for the tire with different health degrees.

[0053] For example, when the first wear index reflects that the health degree of the tire of the target vehicle is 100%, the tire pressure can be set to 3.0 kPa; when the first wear index reflects that the health degree of the tire of the target vehicle is 50%-70%, the tire pressure can be set to 2.8 kPa, which is not specially limited in the present exemplary embodiment.

[0054] In an optional embodiment, the abnormal tire data comprises a tire temperature, The target vehicle is instructed to brake according to the tire temperature.

[0055] When the tire temperature is greater than a corresponding threshold value, the target vehicle is instructed to brake. For example, when the tire temperature of the target vehicle reaches 50°C or above, in order to avoid the occurrence of tire burst and the like, the target vehicle can be instructed to brake to stop in the shade to help cooling.

[0056] In an optional embodiment, the vehicle driving data comprises acceleration data, and the abnormal tire data comprises a tire pressure, Figure 2 A flowchart of a method for adjusting the tire pressure of the target vehicle is shown, as shown in Figure 2 The method can at least comprise the following steps: in step S210, when the tire pressure exceeds a preset tire pressure threshold value, it is determined whether the target vehicle is in an abnormal driving state based on the acceleration data.

[0057] The acceleration data can be data representing acceleration in the forward direction during driving of the target vehicle, which can be represented by an X-axis. The X-axis is the main driving direction of the vehicle, with the positive X-axis pointing in the direction of forward travel of the vehicle and the negative X-axis representing the direction of reverse travel of the vehicle. The direction of the X-axis is crucial for dynamic analysis and control system design of the vehicle.

[0058] When the acceleration data is in the interval between ±0.3G, it indicates that the target vehicle is in normal acceleration or normal deceleration driving. When the forward direction data is not in this interval, it indicates that the target vehicle is significantly accelerating or decelerating. To avoid the target vehicle from slipping, etc., the tire pressure of the target vehicle can be monitored.

[0059] In step S220, if it is determined that the target vehicle is in an abnormal driving state, the tire pressure value of the target vehicle is adjusted according to the acceleration data. In an optional embodiment, Figure 3 A flowchart of a method for further adjusting the tire pressure of the target vehicle is shown, as shown in Figure 3 The method can at least include the following steps: in step S310, a corresponding tire pressure adjustment instruction is generated according to a mapping relationship between a preset acceleration amplitude or frequency and an adjustment value.

[0060] When the forward direction data is not in the interval between ±0.3G and the tire pressure of the target vehicle is greater than a corresponding threshold value, for example, 3.5kPa, it indicates that the tire pressure is abnormally high and there is a risk of tire burst, so a corresponding tire pressure adjustment instruction can be generated according to a preset mapping relationship between an acceleration amplitude or frequency and an adjustment value.

[0061] In step S320, the tire pressure value is reduced to a safe range according to the tire pressure adjustment instruction.

[0062] According to the preset mapping relationship between the acceleration amplitude or frequency and the adjustment value, when the forward direction data is not in the interval between ±0.3G and the tire pressure of the target vehicle is greater than a corresponding threshold value, for example, 3.5kPa, the tire pressure of the target vehicle needs to be adjusted to 2.8kPa, so the tire pressure is adjusted to this value or other values with acceptable tolerance values according to the tire pressure adjustment instruction to reduce the tire pressure value to a safe range.

[0063] In an optional embodiment, the vehicle driving data includes roll data, When the target vehicle turns, the tire pressure of the vehicle associated with the target vehicle is lowered according to the roll data.

[0064] The roll data can be data representing a driving state in a lateral direction during driving of the target vehicle, and can be represented by a Y-axis. The Y-axis is perpendicular to the X-axis, with a positive Y-axis pointing to the right of the vehicle and a negative Y-axis pointing to the left of the vehicle. The Y-axis is mainly responsible for lateral movement of the vehicle and side force calculation, for example, when turning, the change in the Y-axis reflects the roll action of the vehicle.

[0065] When the target vehicle is turning, when the roll data is in the interval between ±0.12G, it indicates that the target vehicle is in the process of normal turning. When the lateral direction data is not in the interval, it indicates that the target vehicle can be driving on a water or snow covered road surface, thereby causing side slip, and not in the process of normal turning. Therefore, the tire pressure of the tire corresponding to the side slip direction of the target vehicle can be adjusted.

[0066] In an optional embodiment, the vehicle driving data includes vertical data, Figure 4 A flowchart of a method of adjusting a driving parameter of an associated vehicle is shown, as Figure 4 As shown, the method can at least include the following steps: in step S410, re-planning a path according to the vertical data, to instruct the vehicle associated with the target vehicle to drive on the re-planned path.

[0067] The vertical data can be data representing a driving state in a vertical direction during driving of the target vehicle, and can be represented by a Z-axis. The Z-axis is perpendicular to the horizontal and lateral planes of the vehicle, with a positive Z-axis pointing to the upper part of the vehicle and a negative Z-axis pointing to the lower part of the vehicle. The Z-axis mainly affects the vertical movement of the vehicle, such as jolting and tilting, etc.

[0068] When the vertical data is in the interval between ±0.2G, it indicates that the target vehicle is in the process of driving on a flat road surface. When the vertical direction data is not in the interval, it indicates that the target vehicle is in a jolting road section, or in a deep pit road section, etc., and the route can be re-planned and the associated vehicle can be instructed to drive according to the re-planned path to avoid the jolting road section or the pothole road section.

[0069] In step S420, the vehicle speed of the vehicle associated with the target vehicle is adjusted according to the vertical data.

[0070] When the vertical direction data is not in the interval between ±0.2G, it indicates that it is in a jolting road section, or in a deep pit road section, etc., and the route of the associated vehicle should be re-planned. However, when there is no other path for the current section of the target vehicle, the associated vehicle can be instructed to pass through the path more gently by adjusting the vehicle speed or other ways of adjusting the vehicle speed.

[0071] In an optional embodiment, the vehicle driving data comprises a second wear index of the vehicle associated with the target vehicle, the second wear index representing a health degree of a tire of the vehicle associated with the target vehicle; Figure 5 A flowchart of another method of adjusting a driving parameter of the associated vehicle is shown, as Figure 5 As shown, the method can at least include the following steps: in step S510, determining an original path and a newly planned path of the target vehicle.

[0072] In order to achieve the effect of multi-vehicle tire state collaborative optimization and global path planning, abnormal tire data of the associated vehicle is also obtained during driving of the associated vehicle.

[0073] Therefore, after obtaining the abnormal tire data of the associated vehicle, the second wear index of the tire of the associated vehicle can be calculated using the tire health degree prediction model.

[0074] In addition, the associated vehicle can also receive the new path planned by the target vehicle through the cloud, and the original path of the target vehicle.

[0075] In step S520, the vehicle associated with the target vehicle is controlled to drive on the new path.

[0076] When the second wear index is less than the corresponding threshold value, it indicates that the wear degree of the tire of the associated vehicle is high, and therefore the associated vehicle can be instructed to drive on the relatively flat new path re-planned by the target vehicle for other vehicles.

[0077] In step S530, the vehicle associated with the target vehicle is controlled to keep driving on the original path.

[0078] When the second wear index is greater than or equal to the corresponding threshold value, it indicates that the wear degree of the tire of the associated vehicle is low, and therefore the associated vehicle can be instructed to drive on the original path that the target vehicle has already driven.

[0079] In an optional embodiment, the abnormal tire data comprises tire pressure and / or tire temperature, When the target vehicle is in an unstable driving state due to abnormal tire pressure and / or tire temperature index, the path is re-planned, and the vehicle associated with the target vehicle is instructed to drive on the re-planned path.

[0080] When the tire pressure of the target vehicle is insufficient, the target vehicle is instructed to inflate.

[0081] After the target vehicle is inflated, it can be further determined whether the driving state of the target vehicle is stable, and the determination method can be to determine whether the accelerations of the target vehicle in the X-axis direction and the Y-axis direction are both within the interval of ±0.1G.

[0082] When the accelerations of the target vehicle in the X-axis direction and the Y-axis direction are both in the interval of ±0.1G, it indicates that the target vehicle is in a stable driving state; when the accelerations of the target vehicle in the X-axis direction and the Y-axis direction are not both in the interval of ±0.1G, it indicates that the target vehicle is not in a stable driving state.

[0083] When the inflated target vehicle is in an unstable driving state, the route can be re-planned, and the associated vehicle is instructed to drive on the re-planned path.

[0084] According to the tire temperature indication, the target vehicle is cooled, and the path is re-planned to instruct the associated vehicle of the target vehicle to drive on the re-planned path.

[0085] When the tire temperature of the target vehicle continues to rise, for example, by more than 10℃ within 2min, the cooling device can be triggered to cool the tire of the target vehicle. At the same time, the path can be re-planned for the associated vehicle of the target vehicle to avoid high-temperature road sections.

[0086] The present disclosure also provides another vehicle control method, Figure 6 A flowchart of another vehicle control method according to an example embodiment is shown, as shown in Figure 6 The method can at least include the following steps: In step S610, upload the abnormal tire data and the corresponding vehicle driving data to obtain the driving parameters, which are determined according to the abnormal tire data and / or the vehicle driving data. The vehicle driving data also includes the vehicle driving data associated with the target vehicle.

[0087] The target vehicle can upload abnormal tire data, for example, when the initial tire data includes the tire temperature of the vehicle, the data with the tire temperature above 50℃ can be determined as abnormal tire data; when the initial tire data includes the tire pressure of the vehicle, the data with the tire pressure above 3.2kPa can be determined as abnormal tire data. The abnormal tire data can also be determined according to the actual situation, which is not specially limited in this example embodiment. In addition, when uploading the abnormal tire data, the target vehicle also uploads the vehicle driving data of the vehicle.

[0088] After the cloud obtains the abnormal tire data and the vehicle driving data uploaded by the target vehicle, and the vehicle driving data uploaded by the vehicle associated with the target vehicle, it can be determined whether the target vehicle is in a stable driving state, and the driving parameters for controlling the target vehicle are obtained after the processing of the vehicle control method shown in Figure 1 The driving parameters for controlling the target vehicle are sent to the target vehicle after the processing of the vehicle control method shown in

[0089] In step S620, the driving parameters are adjusted.

[0090] The target vehicle can be adjusted and controlled according to the driving parameter after the target vehicle acquires the driving parameter issued by the cloud.

[0091] The present disclosure also provides another vehicle control method, Figure 7 A flow chart of another vehicle control method according to an example embodiment is shown in FIG. 7. Figure 7 As shown in FIG. 7, the method can at least include the following steps: In step S710, vehicle driving data is uploaded to acquire a driving parameter, the driving parameter is determined according to abnormal tire data and / or vehicle driving data, the vehicle driving data further includes vehicle driving data of the target vehicle, and the abnormal tire data is determined according to the target vehicle.

[0092] The vehicle associated with the target vehicle can upload its own vehicle driving data to the cloud since the tire data of the vehicle is not abnormal. After the cloud acquires the abnormal tire data and the vehicle driving data uploaded by the target vehicle, and the vehicle driving data uploaded by the vehicle associated with the target vehicle, the cloud processes the vehicle driving data and the abnormal tire data to obtain a driving parameter for controlling the vehicle associated with the target vehicle, and the driving parameter is issued to the associated vehicle. Figure 1 The processing of the vehicle control method shown in FIG. 7 can obtain a driving parameter for controlling the vehicle associated with the target vehicle, and the driving parameter is issued to the associated vehicle.

[0093] In step S720, adjustment is made according to the driving parameter.

[0094] The associated vehicle can be adjusted and controlled according to the driving parameter after the associated vehicle acquires the driving parameter issued by the cloud.

[0095] The vehicle control method in the embodiments of the present disclosure will be described in detail below in combination with an application scenario.

[0096] Figure 8 An interface schematic diagram of the vehicle control method in the application scenario is shown in FIG. 8. Figure 8 As shown in FIG. 8, in a rainy day, the data of a plurality of private cars and other vehicles driving on a relevant road section is uploaded to the cloud, the cloud processes the corresponding data, and issues a warning to vehicles passing through the same road section, so that the vehicles passing through the same road section adjust the tire pressure, speed limit, and path planning, etc., to avoid a multi-vehicle skidding accident and improve the safety of driving in the rain.

[0097] In addition, for a logistics vehicle fleet or a mine heavy truck group, the cloud platform can also aggregate vehicle tire data such as tire temperature, tire pressure, and wear index to dynamically adjust the formation tire pressure, path planning, and provide emergency avoidance strategies, etc.

[0098] In the example embodiments of the present disclosure, relying on the cloud-edge-end collaborative control architecture, a technical leap from single-vehicle control to vehicle group coordination is achieved, which has significant innovation and engineering application value.

[0099] Specifically, based on the multi-dimensional data of tire load, tire pressure, temperature and the like collected in real time by the cloud platform, combined with the distributed wear prediction model, and verified by the measured data, the average service life of the fleet tires is extended by 20%. The technology effectively solves the limitations of traditional single-tire independent control, realizes dynamic optimization and distribution of tire load through vehicle group-level resource scheduling, reduces the risk of abnormal wear and early failure from the system level, realizes collaborative optimization of multi-vehicle tire state and global path planning, and provides a revolutionary technical solution for vehicle fleet operation cost control.

[0100] A millisecond-level vehicle cloud data interaction channel and multi-vehicle linkage decision algorithm based on 5G-V2X are constructed, and the system response time under emergency working conditions is shortened from hundreds of milliseconds in the traditional scheme to 50 ms. The technology realizes real-time perception of the motion state of surrounding vehicles, predicts dangerous scenarios in advance and triggers a cooperative risk avoidance strategy, providing key technical support for the automatic driving emergency braking system.

[0101] In addition, in the exemplary embodiments of the present disclosure, a vehicle control device is also provided, which is used to implement any of the vehicle control methods.

[0102] As to the device in the above-mentioned embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments relating to the method, and will not be described in detail here.

[0103] The present disclosure also provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, implement the steps of the vehicle control method provided by the present disclosure.

[0104] Figure 9 is another block diagram of a device 900 for vehicle control according to an exemplary embodiment. For example, the device 900 can be a mobile phone, a computer, a digital broadcast terminal, a messaging equipment, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0105] Referring to Figure 9 , the device 900 can include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input / output interface 912, a sensor component 914, and a communication component 916.

[0106] The processing component 902 generally controls the overall operations of the device 900, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 902 can include one or more processors 920 to execute instructions delivered from the memory 904 to complete all or part of the steps of the methods described above. In addition, the processing component 902 can include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.

[0107] The memory 904 is configured to store various types of data to support the operations of the device 900. Examples of these data include instructions for any application or method operating on the device 900, contact data, phonebook data, messages, pictures, videos, and so on. The memory 904 can be implemented by any type of volatile or non-volatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0108] The power component 906 provides power to the various components of the device 900. The power component 906 can include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.

[0109] The multimedia component 908 includes a screen providing an output interface between the device 900 and a user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes the touch panel, the screen can be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense a touch, a slide, and a gesture on the touch panel. The touch sensors can not only sense a boundary of a touching or sliding action, but also detect duration and pressure related to the touching or sliding action. In some embodiments, the multimedia component 908 includes a front camera and / or a back camera. The front camera and / or the back camera can receive external multimedia data when the device 900 is in an operating mode, such as a shooting mode or a video mode. Each of the front and back cameras can be a fixed optical lens system or have a focal length and optical zoom capability.

[0110] The audio component 910 is configured to output and / or input audio signals. For example, the audio component 910 includes a microphone (MIC) that is configured to receive an external audio signal when the device 900 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 also includes a speaker for outputting audio signals.

[0111] The input / output interface 912 provides an interface between the processing component 902 and peripheral interface modules, which can be a keypad, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0112] The sensor component 914 includes one or more sensors for providing status assessments of various aspects of the device 900. For example, the sensor component 914 can detect an open / closed position of the device 900, relative positioning of components, such as a display and a keypad of the device 900, a change in position of the device 900 or a component of the device 900, presence or absence of user contact with the device 900, changes in orientation of the device 900 or acceleration / deceleration, and temperature changes of the device 900. The sensor component 914 can include proximity sensor configured to detect presence of nearby objects without any physical touch. The sensor component 914 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 914 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0113] The communication component 916 is configured to facilitate wired or wireless communication between the device 900 and other devices. The device 900 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an example embodiment, the communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an example embodiment, the communication component 916 also includes a Near Field Communication (NFC) module to facilitate short-range communication.

[0114] In an example embodiment, the device 900 can be implemented with one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components, for performing the above-described methods.

[0115] In an example embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 904 comprising instructions, is also provided, which instructions are executable by the processor 920 of the apparatus 900 to perform the above-described method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disc, and an optical data storage device, etc.

[0116] The apparatus described above can be a part of a standalone electronic device, in addition to being a standalone electronic device. For example, in an embodiment, the apparatus can be an integrated circuit (IC) or a chip, where the integrated circuit can be one IC or a collection of multiple ICs; the chip can include but is not limited to the following categories: GPU (Graphics Processing Unit), CPU (Central Processing Unit), FPGA (Field Programmable Gate Array), DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), SOC (System on Chip, SoC, System on a Chip or System Level Chip), etc. The integrated circuit or chip described above can be used to execute executable instructions (or code) to implement the vehicle control method described above. The executable instructions can be stored in the integrated circuit or chip, or obtained from other devices or apparatuses, for example, the integrated circuit or chip includes a processor, a memory, and an interface for communicating with other devices. The executable instructions can be stored in the memory, and when the executable instructions are executed by the processor, the vehicle control method described above is implemented; or the integrated circuit or chip can receive executable instructions through the interface and transmit them to the processor for execution to implement the above method.

[0117] In another example embodiment, a computer program product is also provided, which computer program product contains a computer program executable by a programmable apparatus, the computer program having code portions for performing the vehicle control method described above when the computer program is executed by the programmable apparatus.

[0118] Figure 10 is another block diagram of a vehicle control apparatus 1000 according to an example embodiment. For example, the apparatus 1000 can be provided as a server. Referring to Figure 10The apparatus 1000 also includes a processing component 1022 configured to execute instructions and manipulate data. The processing component 1022 can also include one or more processors configured to execute software routines written in a programming language that can be interpreted or compiled. In one example, the processing component 1022 is configured to implement various functions of the vehicle control method described above. The processing component 1022 can be configured to execute the instructions represented by the software modules stored in the memory 1032.

[0119] The apparatus 1000 can also include a power supply component 1026 configured to supply the components of the apparatus 1000 with power, a wired or wireless network interface component 1050 configured to connect the apparatus 1000 to a network, and an input / output interface 1058. The apparatus 1000 can operate based on an operating system stored in the memory 1032.

[0120] Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. Variations and modifications of the embodiments disclosed can be made based on the description set forth herein, without departing from the scope and spirit of the disclosure. The specification and examples given are intended as illustrative only and not in a limiting sense. The true scope and spirit of the present disclosure is indicated by the following claims.

[0121] It is to be understood that the present disclosure is not limited to the precise construction described above and shown in the attached drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the present disclosure. The scope of the present disclosure is limited only by the claims that follow.

Claims

1. A vehicle control method, characterized in that: include: Obtain abnormal tire data; determining a target vehicle based on the abnormal tire data; Acquiring a target vehicle and vehicle driving data associated with the target vehicle; Based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle are generated.

2. The vehicle control method according to claim 1, characterized in that: The driving parameters include: one or more of tire pressure, driving speed and route suggestion.

3. The vehicle control method according to claim 2, characterized in that: The abnormal tire data includes a first wear index, The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: The tire pressure of the target vehicle is adjusted according to the first wear index, where the first wear index represents the health of the tire of the target vehicle.

4. The vehicle control method according to claim 2, wherein: The abnormal tire data includes tire temperature, The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: The target vehicle is instructed to brake according to the tire temperature.

5. The vehicle control method according to claim 2, characterized in that: The vehicle driving data includes acceleration data, and the abnormal tire data includes tire pressure. The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: When the tire pressure exceeds a preset tire pressure threshold, determining whether the target vehicle is in an abnormal driving state based on the acceleration data; If it is determined that the target vehicle is in the abnormal driving state, the tire pressure value of the target vehicle is adjusted according to the acceleration data.

6. The vehicle control method according to claim 5, characterized in that: The adjusting the tire pressure value of the target vehicle according to the acceleration data includes: Generate a corresponding tire pressure adjustment instruction according to a preset mapping relationship between the acceleration amplitude or frequency and the adjustment value; According to the tire pressure adjustment instruction, the tire pressure value is reduced to a safe range.

7. The vehicle control method according to claim 2, characterized in that: The vehicle driving data includes roll data, The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: When the target vehicle turns, the tire pressure of a vehicle associated with the target vehicle is reduced according to the roll data.

8. The vehicle control method according to claim 2, wherein: The vehicle driving data includes vertical data, The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: replanning a path according to the vertical data to instruct a vehicle associated with the target vehicle to travel on the replanned path; and / or A vehicle associated with the target vehicle adjusts its speed according to the vertical data indication.

9. The vehicle control method according to claim 2, characterized in that: The vehicle driving data includes a second wear index of a vehicle associated with the target vehicle, wherein the second wear index represents a health of a tire of the vehicle associated with the target vehicle; The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: Determining the original path of the target vehicle and the re-planned new path; Based on the second wear index, any one of the following controls is performed: controlling a vehicle associated with the target vehicle to travel on the new path; or The vehicle associated with the target vehicle is controlled to keep traveling along the original path.

10. The vehicle control method according to claim 2, characterized in that: The abnormal tire data includes tire pressure and / or tire temperature, The generating, based on the abnormal tire data and / or the vehicle driving data, driving parameters for adjusting the target vehicle and / or a vehicle associated with the target vehicle comprises: When the target vehicle is in an unstable driving state due to abnormal tire pressure and / or tire temperature index, the path is replanned and the vehicles associated with the target vehicle are instructed to travel on the replanned path.

11. A vehicle control method, characterized in that: include: Uploading abnormal tire data and corresponding vehicle driving data to obtain driving parameters, wherein the driving parameters are determined based on the abnormal tire data and / or the vehicle driving data, and the vehicle driving data also includes vehicle driving data associated with the target vehicle; Adjustments are made according to the driving parameters.

12. A vehicle control method, characterized in that: include: Uploading vehicle driving data to obtain driving parameters, wherein the driving parameters are determined based on the abnormal tire data and / or the vehicle driving data, wherein the vehicle driving data further includes vehicle driving data of a target vehicle, and the abnormal tire data is determined based on the target vehicle; Adjustments are made according to the driving parameters.

13. A vehicle control device, characterized in that: The vehicle control device is used to implement the vehicle control method as described in any one of claims 1 to 12.

14. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the program instructions are executed by a processor, the steps of the method according to any one of claims 1 to 12 are implemented.

15. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 12.

Images